چکیده:
Monetary policy is a set of tools used by a country's central bank to establish balance in money and capital markets and to facilitate a country's financial flow. If proper policymaking is not implemented in this sector, the active banks of a country may lose their economic efficiency and fail to generate appropriate income as an economic enterprise. The purpose of this article is to examine the central bank's monetary policy on the volume and income development of banks, considering operating income at Bank Saderat Iran as the country's largest private bank. This was conducted using a dual approach of Vector Autoregression (VAR) and Network Analysis Process. According to the results obtained, the monetary policy of the Central Bank of Iran did not have an appropriate impact on the profitability of Bank Saderat Iran and has a negative coefficient in this area; this negative impact is confirmed by both quantitative and qualitative methods. In terms of innovation, this article analyzes the topics of monetary policy and the operating income of a bank for the first time, and the nature of the results is derived from both quantitative and qualitative approaches.
خلاصه ماشینی:
According to the results obtained, the monetary policy of the Central Bank of Iran has not had an appropriate impact on the profitability of Bank Saderat Iran and has a negative coefficient in this area, and this negative effect is confirmed by both quantitative and qualitative methods.
In this research, in order to examine and analyze the effects of the Central Bank's monetary policy on the amount of operational income of Bank Saderat Iran, which represents the monetary policy credit line mechanism in the country, two quantitative and qualitative models have been used.
Therefore, the proposed vector autoregression model to examine the effects of the monetary policies of the Central Bank of Iran on the operating income of Bank Saderat for the years 2011-2014, will have the following endogenous variables: t = 2011, ...
Figure (3): Inverse Roots of Characteristic Polynomial test (Refer to the page image) Source: Eviews software output 5-2-4 Lagrange Multiplier (LM) Autocorrelation Test In this section, in order to confirm and ensure the reliability of the results obtained from the impulse response function (measuring the impact of monetary policy shocks on the operating income of Bank Saderat Iran), performing an autocorrelation test on the model residuals is mandatory.
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